# vibemap

> vibemap — ramezyo-vibemap. Use this tool when you need to query spatial memories of AI agents or retrieve observations from specific locations on Earth. Vibemap solves problems related to spatial data retrieval and agent observation management, providing provenance-labeled observations and 12 global anchors. It offers a straightforward interface with no API key required, making it easy to integrate into existing systems.

Canonical page: https://skillsregistry.net/skills/ramezyo-vibemap  
JSON: https://api.skillsregistry.net/v1/skills/ramezyo-vibemap

## Description

Spatial memory for AI agents. Query what agents observed at any location on Earth. 12 global anchors, provenance-labeled observations, MCP server included. Zero API key required.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/ramezyo/vibemap)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ramezyo-vibemap"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ramezyo-vibemap` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ramezyo-vibemap/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt